Sam Altman, leader of one of the world's biggest artificial intelligence companies, has signed a deal with the British government to explore the deployment of advanced AI models in areas including justice, security and education. The chief executive of OpenAI, which has been valued at 300bn ( 220bn) and provides the ChatGPT suite of large language models, agreed the memorandum of understanding with the science and technology secretary, Peter Kyle, on Monday. It follows a similarly wide-ranging deal between the UK government and OpenAI's rival US tech company, Google, which campaigners called "dangerously naive", citing fears that the arrangement could leave the public sector dependent on private technology providers and make it harder for politicians to regulate them. The latest agreement states that OpenAI and the government "will collaborate to identify opportunities for how advanced AI models can be deployed throughout government", including "to help civil servants work more efficiently" and to support "citizens to navigate public services more effectively". It said they will collaborate to develop AI solutions "to the UK's hardest problems, including in areas such as justice, defence and security, and education technology" and develop partnerships "to expand public engagement with AI technology".

OpenAI's incoming CEO of applications, Fidji Simo, sent her first note to staff on Monday, telling employees the tools they're developing "will unlock more opportunities for more people than any other technology in history." "If we get this right, AI can give everyone more power than ever," Simo wrote, striking a hyper-optimistic tone, according to a copy of the memo viewed by WIRED. "But I also realize those opportunities won't magically appear on their own." Simo previously worked as the CEO of Instacart. Before that, she spent a decade at Meta, where she went from being a product manager on the company's news feed to the head of product for the Facebook app.

Unknown to the general public just three years ago, Jensen Huang is now one of the most powerful entrepreneurs in the world as head of chip giant Nvidia. The unassuming 62-year-old draws stadium crowds of more than 10,000 people as his company's products push the boundaries of artificial intelligence. Chips designed by Nvidia, known as graphics cards or GPUs (Graphics Processing Units), are essential in developing the generative artificial intelligence powering technology like ChatGPT.

Human motion simulation (HMS) supports cost-effective evaluation of worker behavior, safety, and productivity in industrial tasks. However, existing methods often suffer from low motion fidelity. This study introduces Generative-AI-Enabled HMS (G-AI-HMS), which integrates text-to-text and text-to-motion models to enhance simulation quality for physical tasks. G-AI-HMS tackles two key challenges: (1) translating task descriptions into motion-aware language using Large Language Models aligned with MotionGPT's training vocabulary, and (2) validating AI-enhanced motions against real human movements using computer vision. Posture estimation algorithms are applied to real-time videos to extract joint landmarks, and motion similarity metrics are used to compare them with AI-enhanced sequences. In a case study involving eight tasks, the AI-enhanced motions showed lower error than human created descriptions in most scenarios, performing better in six tasks based on spatial accuracy, four tasks based on alignment after pose normalization, and seven tasks based on overall temporal similarity. Statistical analysis showed that AI-enhanced prompts significantly (p $<$ 0.0001) reduced joint error and temporal misalignment while retaining comparable posture accuracy.

With the rapid rise of generative AI and synthetic media, distinguishing AI-generated images from real ones has become crucial in safeguarding against misinformation and ensuring digital authenticity. Traditional watermarking techniques have shown vulnerabilities to adversarial attacks, undermining their effectiveness in the presence of attackers. W e propose IConMark, a novel in-generation robust semantic watermarking method that embeds interpretable concepts into AI-generated images, as a first step toward interpretable watermarking. Unlike traditional methods, which rely on adding noise or perturbations to AI-generated images, IConMark incorporates meaningful semantic attributes, making it interpretable to humans and hence, resilient to adversarial manipulation. This method is not only robust against various image augmentations but also human-readable, enabling manual verification of watermarks. W e demonstrate a detailed evaluation of IConMark's effectiveness, demonstrating its superiority in terms of detection accuracy and maintaining image quality. Moreover, IConMark can be combined with existing watermarking techniques to further enhance and complement its robustness. W e introduce IConMark+SS and ICon-Mark+TM, hybrid approaches combining IConMark with StegaStamp and TrustMark, respectively, to further bolster robustness against multiple types of image manipulations. Our base watermarking technique (IConMark) and its variants (+TM and +SS) achieve 10.8%, 14.5%, and 15.9% higher mean area under the receiver operating characteristic curve (AUROC) scores for watermark detection, respectively, compared to the best baseline on various datasets.

User Interface (UI) and User Experience (UX) design are foundational components of the software development lifecycle, playing a very important role in shaping how users perceive, interact with, and derive value from digital products. UI design encompasses the visual and interactive elements of a system, including layout, typography, and on-screen components. In contrast, UX design encompasses the broader user journey, including the emotions, perceptions, and behaviors that emerge before, during, and after interaction with a product [34]. The quality of UI/UX design is a decisive factor in product success and user retention. Research consistently shows that poor UI/UX can drive users to abandon products altogether [9, 63].

Frontier AI developers are relying on layers of safeguards to protect against catastrophic misuse of AI systems. Anthropic guards their latest Claude 4 Opus model using one such defense pipeline, and other frontier developers including Google DeepMind and OpenAI pledge to soon deploy similar defenses. However, the security of such pipelines is unclear, with limited prior work evaluating or attacking these pipelines. We address this gap by developing and red-teaming an open-source defense pipeline. First, we find that a novel few-shot-prompted input and output classifier outperforms state-of-the-art open-weight safeguard model ShieldGemma across three attacks and two datasets, reducing the attack success rate (ASR) to 0% on the catastrophic misuse dataset ClearHarm. Second, we introduce a STaged AttaCK (STACK) procedure that achieves 71% ASR on ClearHarm in a black-box attack against the few-shot-prompted classifier pipeline. Finally, we also evaluate STACK in a transfer setting, achieving 33% ASR, providing initial evidence that it is feasible to design attacks with no access to the target pipeline. We conclude by suggesting specific mitigations that developers could use to thwart staged attacks.

Mark Zuckerberg was supposed to win the AI race. Eons before ChatGPT and AlphaGo, when OpenAI did not exist and Google had not yet purchased DeepMind, there was FAIR: Facebook AI Research. In 2013, Facebook tapped one of the "godfathers" of AI, the legendary computer scientist Yann LeCun, to lead its new division. That year, Zuckerberg personally traveled to one of the world's most prestigious AI conferences to announce FAIR and recruit top scientists to the lab. FAIR has since made a number of significant contributions to AI research, including in the field of computer vision.

Android Authority has been digging around in the files of the latest ChatGPT app (beta version 1.2025.196) When generating an image with ChatGPT, you will soon be able to select "Save without watermark" in the menu behind the three dots in the top-right corner of the app. Obviously, this feature would be rather useless if images weren't going to be watermarked. Will all users be able to save images without watermarks? Android Authority speculates that the feature may sit behind a paywall and only be available to paid ChatGPT subscribers.

Mizuho Financial Group said Friday that it has signed a strategic partnership agreement with SoftBank to introduce cutting-edge artificial intelligence to streamline operations and improve customer service. Mizuho will be the first in the financial sector to introduce "Cristal intelligence," which is being developed jointly by SoftBank and OpenAI, the U.S. developer of the ChatGPT generative AI tool. Mizuho expects the latest AI technology, which optimizes corporate tasks, to help the company increase revenue and cut costs, resulting in positive effects totaling 300 billion by fiscal 2030. Using the technology, Mizuho plans to analyze transaction data and market trends to quickly provide corporate customers with management advice. The financial group also expects the technology to help boost productivity in its sales activities more than twofold and reduce low-value operations by up to 50%.